2 papers
cs.CV2024
Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification
Long Lan, Fengxiang Wang, Xiangtao Zheng +2
Fine-grained ship classification in remote sensing (RS-FGSC) poses a significant challenge due to the high similarity between classes and the limited availability of labeled data,…
cs.CL2024
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
Zhanke Zhou, Rong Tao, Jianing Zhu +3
This paper investigates an under-explored challenge in large language models (LLMs): chain-of-thought prompting with noisy rationales, which include irrelevant or inaccurate reason…